Localization of mobile robot using particle filter

Jeong Woo, Young Joong Kim, Jeong On Lee, Myo Taeg Lim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    27 Citations (Scopus)

    Abstract

    Localization is an important topic in mobile robots. It is essential that a mobile robot plans movement and reaches goals. In this paper, we described self-localization technique for mobile robot based on particle filtering in active beacon system. The basic method is to estimate value of position and heading of mobile robot using ultrasonic sensor as particle filter is used to eliminate process and measurement noise. Several variants of the particle filter such as SIR and RPF are introduced. These are discussed and compared with EKF for localization of mobile robot.

    Original languageEnglish
    Title of host publication2006 SICE-ICASE International Joint Conference
    Pages3031-3034
    Number of pages4
    DOIs
    Publication statusPublished - 2006
    Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
    Duration: 2006 Oct 182006 Oct 21

    Publication series

    Name2006 SICE-ICASE International Joint Conference

    Other

    Other2006 SICE-ICASE International Joint Conference
    Country/TerritoryKorea, Republic of
    CityBusan
    Period06/10/1806/10/21

    Keywords

    • Localization
    • Mobile robot
    • Particle filter
    • Ultrasonic sensor

    ASJC Scopus subject areas

    • Computer Science Applications
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

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